Abstract:
A pandemic is an epidemic of human
disease occurring over a very wide area, crossing
international boundaries and affecting a large
number of people. Influenza is a virus that causes
respiratory disease in humans, with typical
symptoms of fever, cough, and muscle ache and
pneumonia and death. This system can learn the
patterns using Bayesian Analysis and develop a
Decision Support System. Bayesian Classifier is
based on the theorem of posterior probability.
Calculate the probability when the new case comes.
Computer-based medical systems are playing an
increasing relevant role in assisting both diagnosis
and treatments. This paper intends to develop
Bayesian Classification method for flu diagnosis
based on the symptoms of the patients. This system
stores the knowledge of the medical experts and the
medical record. Based on the knowledge stored, the
system can learn the pattern using Bayesian
Analysis and decides the probability when the new
case comes. To develop a Decision Support System
for automatic classification method for Pandemic
Influenza based on symptom of the patients.
Decision support system is also used for the patient
who tests themselves at home instead of clinical test.
